iPhone14,2
Geekbench ML Score
1287
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 23 2021 06:57 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| Model | iPhone14,2 |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 1.38 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 5.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2798
299.8 IPS |
|
|
Image Classification (F16)
|
100% |
2803
300.3 IPS |
|
|
Image Classification (I8)
|
81% |
298
32.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
927
5.73 IPS |
|
|
Image Segmentation (F16)
|
100% |
927
5.73 IPS |
|
|
Image Segmentation (I8)
|
89% |
548
3.38 IPS |
|
|
Pose Estimation (F32)
|
100% |
10045
40.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
10080
40.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
103
0.42 IPS |
|
|
Object Detection (F32)
|
100% |
3479
122.1 IPS |
|
|
Object Detection (F16)
|
100% |
3472
121.9 IPS |
|
|
Object Detection (I8)
|
52% |
424
14.9 IPS |
|
|
Face Detection (F32)
|
100% |
4092
47.0 IPS |
|
|
Face Detection (F16)
|
100% |
4076
46.8 IPS |
|
|
Face Detection (I8)
|
75% |
417
4.79 IPS |
|
|
Text Classification (F32)
|
100% |
591
233.7 IPS |
|
|
Text Classification (F16)
|
100% |
591
233.7 IPS |
|
|
Machine Translation (F32)
|
100% |
924
142.4 IPS |
|
|
Machine Translation (F16)
|
100% |
921
141.9 IPS |
